Temporal output discrepancy for loss estimation-based active learning

Temporal output discrepancy for loss estimation-based active learning

While deep learning succeeds in a wide range of tasks, it highly depends on the massive collection of annotated data which is expensive and time-consuming. To lower the cost of data annotation, active learning has been proposed to interactively query an oracle to annotate a small proportion of infor...

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Bibliographic Details
Main Authors: Huang, Siyu, Wang, Tianyang, Xiong, Haoyi, Wen, Bihan, Huan, Jun, Dou, Dejing
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Active learning
Loss estimation
Online Access:https://hdl.handle.net/10356/178104

Internet

https://hdl.handle.net/10356/178104

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